Getting Started with Generative AI
Completed by Amit Srivastava
January 30, 2026
18 hours (approximately)
Amit Srivastava's account is verified. Coursera certifies their successful completion of Getting Started with Generative AI
What you will learn
Define generative AI principles and apply data preparation, vectorization, and model-building techniques.
Analyze and compare models like GANs, VAEs, transformers, and LLMs for practical applications.
Design effective prompts using few-shot, zero-shot, and chain-of-thought techniques for AI models.
Optimize and deploy generative AI models using fine-tuning, PEFT, and LLMOps strategies.
Skills you will gain
- Category: Generative Adversarial Networks (GANs)
- Category: Fine-tuning
- Category: Database Systems
- Category: LLM Application
- Category: Embeddings
- Category: Prompt Engineering
- Category: Model Optimization
- Category: Generative AI
- Category: Responsible AI
- Category: Data Visualization
- Category: Generative Model Architectures
- Category: Data Cleansing
